Convolutional neural networks for multi-class brain disease detection using MRI images

Talo, Muhammed, Yildirim, Ozal, Baloglu, Ulas Baran, Aydin, Galip, Acharya, U Rajendra·2019·Computerized Medical Imaging and Graphics

Cited by (304)

Items 201–300 of 304

  1. A Classification Method for Brain MRI via AlexNet
    Burak Taşçı · 2021 · International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON)
  2. RETRACTED ARTICLE: A contrast adaptive histogram equalization with neural learning quantization (CAHE-NLQ) for blood clot detection in brain
    C. Rajive Gandhi, Veerasamy Murugesh · 2021 · Journal of Ambient Intelligence and Humanized Computing · Retracted
  3. The Impact of Histogram Equalization and Color Mapping on ResNet-34's Overall Performance for COVID-19 Detection
    Jonathan David Freire, Jordan Montenegro, Hector Mejia, Franz Paul Guzman, Carlos Enrique Bustamante, Ronny Velasteguí, Lorena Guachi‐Guachi · 2021 · Data Storage and Data Engineering
  4. Impact of Artificial Intelligence in COVID-19 Pandemic: A Comprehensive Review
    Hafiz Ahsan Arshad, Mubashar Hussain, Amin Ahmad, Muhammad Asad Arshed · 2022 · International Conference on Distributed Computing and High Performance Computing (DCHPC)
  5. An Evaluation of Pre-Trained Convolutional Neural Network Models for the Detection of COVID-19 and Pneumonia from Chest X-Ray Imagery
    Catur Edi Widodo, Kusworo Adi, Priyono Priyono, Aji Setiawan · 2023 · Mathematical Modelling and Engineering Problems
  6. A multi-view graph neural network approach for magnetic resonance imaging-based diagnosis of knee injuries
    Biyong Deng, Jiashan Pan, Xiaoyu Tang, Haitao Fu, Shushan Hu · 2025 · Cognitive Robotics
  7. Segmentation And Classification Of Brain Tumor Using CNN Algorithm
    R Breesha, T. R. Dinesh Kumar, Vinayakumar Ravi, Vimal Raj K, Vishal Raj K, Gokul Raj P · 2024 · International Conference on Circuit, Power and Computing Technologies
  8. Real-Time Automatic Configuration of Brain MRI: A Comparative Study of SIFT Descriptors and YOLO Neural Network
    Rávison Amaral Almeida, Júlio César Porto de Carvalho, Antônio Wilson Vieira, Heveraldo Rodrigues de Oliveira, Marcos Flávio Silveira Vasconcelos D’Ângelo · 2024 · Applied Sciences
  9. Deep Learning in Medical Imaging for Early Disease Detection
    Saadaldeen Rashid Ahmed, Talib Abidzaid Al-Sharify, Taif S. Hasan, Rawshan Nuree Othman, Bourair Al-Attar, Noor Haydar Shaker, Abdulghafor Mohammed Hashim, Abu Saleh Musa Miah, Lal Hussain · 2025 · Lecture notes in electrical engineering
  10. Meta Pseudo Labels for Chest X-ray Image Classification
    Assanali Abu, Yerkin Abdukarimov, Nguyen Anh Tu, Min-Ho Lee · 2022 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
  11. A New Pes Planus Automatic Diagnosis Method: ViT-OELM Hybrid Modeling
    Derya Avcı · 2025 · Diagnostics
  12. Brain Image Classification Using the Hybrid CNN Architecture
    Pranati Satapathy, Sateesh Kumar Pradhan, Sarbeswara Hota, Rashmi Ranjan Mahakud · 2021 · Lecture notes in networks and systems
  13. Nature-Inspired Feature Selection Algorithms: A Study
    D. Mahalakshmi, S. Balamurugan, M. Chinnadurai, D. Vaishnavi · 2022 · Lecture notes on data engineering and communications technologies
  14. Classification of COVID-19 Chest CT Images Using Optimized Deep Convolutional Generative Adversarial Network and Deep CNN
    K. Thangavel, K. Sasirekha · 2022 · Lecture notes on data engineering and communications technologies
  15. Lite-FBCN: Lightweight Fast Bilinear Convolutional Network for Brain Disease Classification from MRI Image
    Dewinda Julianensi Rumala, Reza Fuad Rachmadi, Anggraini Dwi Sensusiati, I Ketut Eddy Purnama · 2024 · EMITTER International Journal of Engineering Technology
  16. Enhancing Brain Tumor Detection in MRI with Feature Fusion and SMOTE-Optimization Techniques
    Suman Rekha Dip, Hemant Kumar Meena · 2025 · International Conference on Signal Processing, Computing and Control (ISPCC)
  17. An Ensemble CNN With Bayesian Learning Model for Multiclass Classification of Brain Disease Using Adaptive Refinement Network‐Based Segmentation
    Alampally Sreedevi, Neravati Nagaraja kumar, Tejaswini G. Panse · 2025 · NMR in Biomedicine
  18. Classification of brain tumors from MRI images using deep transfer learning
    Armita Kazemi · 2023 · Journal of High School Science
  19. Deep learning-driven morphological fingerprinting: rapid, accurate and low-cost pathogen identification via the analysis of dried patterns of droplets
    Shujuan Guan, Ruyue Yang, Danning Deng, H P Long, Zihao Ou, Xiaoxue Ge, Xiujuan Jiang, Xiumei Hu, Dingqiang Chen · 2025 · Journal of Nanobiotechnology
  20. Densefedcnn: a federated learning-based framework with client-specific hyperparameter tuning for multi-class brain MRI classification
    Naima Firdaus, Zahid Raza · 2026 · International Journal of Machine Learning and Cybernetics
  21. Impact of Different Batch Sizes on Transfer Learning Models for Multi-class Classification of Alzheimer’s Disease
    Kanwarpartap Singh Gill, Avinash Sharma, Vatsala Anand, Rupesh Gupta · 2023 · Lecture notes in networks and systems
  22. Triple Consistency-based Self-ensembling Model for Unsupervised Domain Adaption in Medical Image Segmentation
    Andrew Shi, Wei Feng · 2023 · International Joint Conference on Neural Networks (IJCNN)
  23. Detection of Brain Tumour in MRI Images using Deep Belief Network (DBN)
    Roshan Jahan, Manish Madhava Tripathi · 2024 · Journal of Advanced Research in Applied Sciences and Engineering Technology
  24. Detecting Brain Neuronal Movements Using Histogram of Oriented Gradients
    Koneru Suvarna Vani, Madala Komali, Grandhe Harshini, Sai Venkata Vignesh Kollu · 2024 · IEEE International Conference for Convergence in Technology (I2CT)
  25. State Prediction Model of Steel Structure Based on VMD-CNN Method
    Xinmei Li, Tianxiang Xue, Shuai Suo, Wen Li, Yunyan Bai, Peijun Wang, Lele Sun · 2024 · International Journal of Structural Stability and Dynamics
  26. Effects of image quality and quantity on building a competitive COVID-19 diagnosis model
    Philippos Skovelef Orfanoudakis, Paraskevi K. Tzouveli, Stefanos Kollias · 2021 · IEEE International Conference on Big Data (BigData)
  27. An Approach For Pest Detection and Classification Using Transfer Learning Algorithms
    P. Venkatasaichandrakanth, Meenakshisundaram Iyapparaja · 2022 · IEEE North Karnataka Subsection Flagship International Conference (NKCon)
  28. BrainSCK: Brain Structure and Cognition Alignment via Knowledge Injection and Reactivation for Diagnosing Brain Disorders
    Lilong Wang, Mianxin Liu, Shaoting Zhang, Xiaosong Wang · 2024 · Lecture notes in computer science
  29. Data Flow Mapping onto DNN Accelerator Considering Hardware Cost
    Baharealsadat Parchamdar, Midia Reshadi · 2020 · IEEE Dallas Circuits and Systems Conference (DCAS)
  30. Empirical Analysis of Image Recognition and Classification through Machine Learning and Transfer Learning Approaches using Multiple Regression Analysis
    Avinash Seekoli, Ayan Das Gupta, Mohseena Thaseen, N. Gopinath, Sushma Jaiswal, Sunil L. Bangare · 2022 · International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
  31. Brain Tumor Classification Using Deep Learning Framework
    Yogita K. Dubey, Neeraj Thosar, Kajal Ramendranath Mitra, Mahek Narlawar, Dewang Bhalerao · 2022 · IEEE Region Humanitarian Technology Conference
  32. Comparing Different Deep Learning Models with a Novel Model for COVID-19 and Pneumonia Classification Using Chest X-Ray Images
    C. V. Aravinda, M S Sannidhan, Jyothi Shetty, Shabari Shedthi, Roheet Bhatnagar · 2023 · Lecture notes on data engineering and communications technologies
  33. Deep Learning Framework-Based Automated Multi-class Diagnosis for Neurological Disorders
    Syed Saad Azhar Ali, Khuhed Memon, Norashikin Yahya, Karim Asif Sattar, Sami El Ferik · 2023 · International Conference on Automation, Control and Robots (ICACR)
  34. A new deep model based on part pooling for medical image classification
    Xiaohong Li, Zhendong Guo, Shan Zhang, Xiaoyong Guo · 2021 · IEEE International Conference on Artificial Intelligence and Industrial Design (AIID)
  35. Effect of situational and instrumental distortions on the classification of brain MR images
    Swagatika Devi, Sambit Bakshi, Manmath Narayan Sahoo · 2022 · Biomedical Signal Processing and Control
  36. WITHDRAWN: Few-shot Learning on the Diagnosis of Lymphatic Metastasis of Lung Carcinoma
    Haohua Teng, Weidong Zhang, Jinzhi Wei, Lei Lv, Licheng Tang, Chi-Cheng Fu, Yumeng Cai, Gang Qin, Min Ye, Qu Fang et al. · 2021 · Research Square
  37. A Novel Automated Method for COVID-19 Infection and Lung Segmentation using Deep Neural Networks
    Shreyas Mishra · 2020 · Research Square
  38. XAI in Medicine : Analysis and Evaluation of XAI Tools and Legal Liability for Neural Networks ; A Case Study on Tumor Image Classification
    Alina Tenne · 2024
  39. QCML: Qualified Contrastive Machine Learning methodology for infectious disease diagnosis in CT images
    G. Naga Chandrika, J. Karpagam, Titus Richard, Finney Daniel Shadrach, Triwiyanto Triwiyanto · 2024 · Journal of Electronics Electromedical Engineering and Medical Informatics
  40. An Efficient Brain Tumor Detection Using Ensemble Learning
    Adarsh Pal, Jitendra Kumar Seth, Ayush Tyagi, Ali Haider, Akhilesh Mishra · 2024
  41. MR Görüntülerinden Beyin Tümörünün A-ESA Tabanlı Bir Yaklaşımla Otomatik Sınıflandırılması
    Elif Yildiz, Fatih Demir, Abdulkadir Şengür · 2024 · International Journal of Pure and Applied Sciences
  42. Inductive and Transfer Learning‐Based Hybrid Model Techniques for Accurate and Automated Diagnosis of Neurological Diseases
    Saroj Kumar Pandey, Yogesh Kumar Rathore, Sunakshi Mehra, Anurag Sinha, Tarun Raj Kumar, Ankit Kumar, Rekh Ram Janghel, Ayodele Lasisi, Quadri Noorulhasan Naveed, Md. Sazid Reza · 2025 · Brain and Behavior
  43. Multi-Class Neuro Degenerative Disease Classifiers for Brain Mri Using Swin Transformer
    Binu Rajan M R, Kavitha K, J. S. Jayasudha · 2025 · Innovations in Power and Advanced Computing Technologies (i-PACT)
  44. XGBoost-Driven Early Prediction of Alzheimer’s Disease Using Integrated Multimodal Features
    Ziwei Liu, Wenyu Qi, Nan Qiao · 2025 · International Conference on Computers and Artificial Intelligence Technology (CAIT)
  45. A new attention mechanism based on inner product for medical image classification
    Zimeng Chi, Guiqing Zhang, Xiaoyong Guo · 2022 · International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID)
  46. Research progress of frontier image processing in medical endoscopes
    Jinjing Wu, Yang Yuan, Long Liu, Haipo Cui, Tianying Xu, Miao Zhou, Zhanheng Chen, Bing Xu · 2023 · Perioperative Precision Medicine
  47. Diabetes detection using VGG16 CNN and ResNet50 CNN algorithm for accuracy, specificity, and sensitivity improvement
    A. Gowtham Venkata Sai, R. Puviarasi · 2024 · AIP conference proceedings
  48. A Comprehensive Study on Computer Aided Approaches for Multiclass Neurological Disorder Classification
    Binu Rajan M R, K. Kavitha, J. S. Jayasudha · 2023 · International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS)
  49. Machine learning and neuroimaging: Understanding the human brain in health and disease
    Zijin Gu, Keith Wakefield Jamison, Mert Rory Sabuncu, Amy F. Kuceyeski · 2024 · Elsevier eBooks
  50. Brain tumor identification with MRI imaging using convolutional neural networks
    Anisha Sathish, Chaya Ravindra · 2024 · SPIE Applications of Machine Learning
  51. Photoplethysmogram-based Cerebrovascular Disease Detection: A Machine Learning Approach
    Aditta Chowdhury, Kamrul Hasan, Monika Chowdhury, Diba Das, Sagar Mutsuddi, Mehdi Hasan Chowdhury · 2024 · International Conference on Innovations in Science, Engineering and Technology (ICISET)
  52. Tongue Image Analysis Using CNN Method to Identify Health Disorders
    Budi Nugroho, Eva Yulia Puspaningrum, Yisti Vita Via, Hendra Maulana, D. K., Eka Prakarsa Mandyartha, Fawwaz Ali Akbar · 2025 · Nusantara Science and Technology Proceedings
  53. Shearlet Transform and Convolutional Neural Network for Histopathology Images in Breast Cancer Classification
    Siti Shaliza Mohd Khairi, Mohd Aftar Abu Bakar, Mohd Almie Alias, Sakhinah Abu Bakar, Nurwahyuna Rosli, Mohsen M. Farid · 2025 · Malaysian Journal of Fundamental and Applied Sciences
  54. Multiclass SVM coupled with optimization techniques for segmentation and classification of medical images
    Subbiahpillai Neelakantapillai Kumar, Alfred Lenin Fred, Parasuraman Padmanabhan, Balázs Zoltán Gulyás, Ajay Kumar Haridhas, Nisha Dayana · 2021 · Elsevier eBooks
  55. COVID-CNNnet: Convolutional Neural Network for Coronavirus Detection
    Ali A. Alani, Ahmed A. Alani, Khudhair Abed AL Ani · 2021 · International Journal on Data Science
  56. Transformation of Medical Imaging Using Artificial Intelligence: Its Impact and Challenges with Future Opportunities
    Richa Gupta, Vikas Tripathi, Amit Kr. Gupta, Shruti Bhatla · 2021 · Advances in intelligent systems and computing
  57. Deep DenseNet and ResNet Approach for COVID-19 Prognosis: Experiments on Real CT Images
    H. Swapnarekha, Himansu Sekhar Behera, Janmenjoy Nayak, Bighnaraj Naik · 2021 · Advances in intelligent systems and computing
  58. Diagnosis of Brain Tumor using Automated Deep Learning Model
    Ashmeet Kaur, Shailendra Narayan Singh · 2021 · International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)
  59. An Enhanced Deep Network for Recognizing the Coronavirus Disease Using X-ray Images
    D. Vaishnavi · 2021 · IETE Journal of Research
  60. Detection of Covid-19 Using CAD System Depending on Chest X-Ray and Machine Learning Techniques
    Sadeer Thamer, Mshari Alshmmri · 2022 · Iraqi Journal for Electrical And Electronic Engineering
  61. Deep Learning for Combating COVID-19 Pandemic in Internet of Medical Things (IoMT) Networks: A Comprehensive Review
    Ali Kadhum Idrees, Balqees Talal Hasan, Sara Kadhum Idrees · 2012 · Internet of things
  62. Deep Learning-Based Alzheimer's Disease Classification using Transfer Learning and Data Augmentation
    Deva Anand, P. Sheela Gowr, S. Logesh, S. M. Anand · 2023 · International Conference on Intelligent Technologies (CONIT)
  63. Study of Dementia Severity Prognosis in Mr Images Using Grey Wolf Optimization Based Dual Deep Learning Technique
    Ahana priynaka, Kavitha Ganesan · 2021 · Research Square
  64. Multimodel Image Segmentation and Classification by MAP based graph cut and Improved VGG16
    Jathin desan · 2020 · International Journal of Engineering and Advanced Technology
  65. Contribution and Clinical Significance of 3D and 2D Deep Learning and Radimoics Features Based on MR-T1W Images in Joint Diagnosis of Parkinson's Disease
    Yan Mo, Xiaojun Guan, Haoyi Xiong, Tao Guo, Cheng Zhou, Jingjing Wu, Xueqin Bai, Jianmei Qin, Haoting Wu, Xiaocao Liu et al. · 2022 · SSRN Electronic Journal
  66. Deep Learning Models for 3D MRI Brain Classification
    Marius Pullig, Benjamin Bergner, Amish Doshi, Anja Hennemuth, Zahi Adel Fayad, Christoph Lippert · 2022 · Informatik aktuell
  67. Brain Shape Correspondence Analysis Using Variational Mixtures for Gaussian Process Latent Variable Models
    Juan Pablo Velasquez-Minoli, Alvaro Angel Orozco, Gloria L. Porras-Hurtado, Hernán F. García · 2022 · Lecture notes in computer science
  68. Face Recognition Concept for Reservation System in Trainer Kit Computer Vision
    Dandhi Kuswardhana, Erik Haritman, Fahmi Jabbar, Fikri Nashrullah, Nurfaridha Ariyani, Teguh Pratama Nugraha · 2021 · International Symposium on Materials and Electrical Engineering (ISMEE)
  69. Beyin Bilgisayarlı Tomografi Görüntülerinde Yapay Zeka Tabanlı Beyin Damar Hastalıkları Tespiti
    Ali Fatih KARATAŞ, Vakkas Doğan, Volkan Kılıç · 2022 · European Journal of Science and Technology
  70. Study of onset in brain dementia using hierarchical wolf colony optimization and dual deep learning technique
    Ahana Priyanka, Kavitha Ganesan · 2022 · The Imaging Science Journal
  71. A modified CNN model for Brain Tumor Detection
    Jaya Bijaya Arjun Das, Abhishek Das, Archana Sarangi, Debahuti Mishra, Mihir Narayan Mohanty · 2022 · International Conference on Machine Learning, Computer Systems and Security (MLCSS)
  72. A network for acute bilirubin encephalopathy classification based upon attention mechanism and 3D convolution kernels
    Haoyu Zhang, Zhaohui Wang · 2023 · International Conference on Graphics and Image Processing (ICGIP)
  73. Efficient Detection of Covid-19 from Chest X-ray Images using CNN Feature Extraction and an Ensemble of Machine Learning Classifiers
    D L Asha Rani, P Anishiya, T. Pramananda Perumal · 2023 · Indian Journal of Science and Technology
  74. Covid CNN–SVM: Automated Categorization of Novel Coronavirus Disease from X-Ray Images
    Israa Rafaa Abdulqader · 2023 · Journal of Image Processing and Intelligent Remote Sensing
  75. Xgboost-Powered Pes Planus Diagnosis: Unearthing the Most Relevant X-Ray Image Features
    Çağla Danacı, Derya Avcı, Seda Arslan Tuncer · 2023 · SSRN Electronic Journal
  76. A survey on deep Learning's Effectiveness in Detecting Brain Tumors
    Pothreddypally Jhansi Devi, C. Pretty Diana Cyril, Ch. Madhu Babu · 2023 · International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE)
  77. Image segmentation and analysis methods applied to anterior eye optical coherence tomography
    Francisco Yoel Garcia Marin · 2024 · Queensland University of Technology
  78. A deep learning enhanced graylevel co-occurrence matrix approach for cancer classification using cytological smears
    yifei wang, Yu Zhao, Bo Yu · 2024 · International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP)
  79. A deep learning approach to the measurement of the nucleus-to-cytoplasm ratio
    Zachary Anstey · 2024
  80. AI-Driven Web-Based System for Accurate Brain Tumor Detection, Staging, and Visualization Using CNNs and MRI Scans
    Aniket Khandave, Gunjan Kukreja, Amol Patil, Rutuja Sonwane, Komal Patankar, Aditya Chorghade · 2024 · International Journal for Research in Applied Science and Engineering Technology
  81. A Multi-view Graph Neural Network Approach for Magnetic Resonance Imaging-Based Diagnosis of Knee Injuries
    Biyong Deng, Jiashan Pan, Xiaoyu Tang, Haitao Fu, Shushan Hu · 2025 · Communications in computer and information science
  82. Leveraging Orange for Efficient Implementation of VGG16/VGG19 for Neoplasticity Classification
    D. B., V Vethasri, Shriram P M, Ramesh Munirathinam · 2025 · International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI)
  83. An Optimized Deep Learning Framework for Early Identification of Alzheimer’s Disease
    Ashutosh Kumar, Saurabh Aggarwal, Tariq Hussain, Abhilash Maroju, Rachit Garg, Samarth Gupta · 2025 · Lecture notes in networks and systems
  84. M 2 KD-Net: A multimodal multi-domain knowledge-driven framework for Parkinson's disease diagnosis
    Xiangze Teng, Xiang Li, Benzheng Wei · 2025 · Journal of X-Ray Science and Technology
  85. Leveraging Deep Learning and Classifier Ensembles for Brain Tumor Classification
    Ishani Dey, Vibha Pratap · 2025 · Lecture notes in networks and systems
  86. Classification of Brain Images Using Bit Plane Approach
    Tanuja R. Patil, Samiksha Mahesh Dandgall, Vishwanath P. Baligar · 2025 · Lecture notes in networks and systems
  87. Reliable Automated Diagnosis of Soft Tissue Tumor using Machine Learning
    Raghu Ramamoorthy · 2025 · International Research Journal of Computer Science
  88. Additional file 3 of Transfer learning for medical image classification: a literature review
    Kim, Hee E., Alejandro Cosa‐Linan, Nandhini Santhanam, Jannesari, Mahboubeh, Mate Elod Maros, Ganslandt, Thomas · 2022 · Figshare
  89. Une comparaison entre les frameworks d’architecture VGG16, VGG19 et ResNet50 pour la classification des images médicales traitées normales et CLAHE
    Kamal Kamal, Hamid EZ-ZAHRAOUY · 2023 · Research Square
  90. Additional file 1 of Transfer learning for medical image classification: a literature review
    Kim, Hee E., Alejandro Cosa‐Linan, Nandhini Santhanam, Jannesari, Mahboubeh, Mate Elod Maros, Ganslandt, Thomas · 2022 · Figshare
  91. Additional file 2 of Transfer learning for medical image classification: a literature review
    Kim, Hee E., Alejandro Cosa‐Linan, Nandhini Santhanam, Jannesari, Mahboubeh, Mate Elod Maros, Ganslandt, Thomas · 2022 · Figshare
  92. Deep Learning-Based Prognostic Modeling for Alzheimer's Disease
    Meeradevi, Maria Rufina P, B Harshitha, Swara Sameer Pawanekar, R. r, Neelam Bind · 2025 · IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE)
  93. CataractAsist: Convolutional Neural Network-Based Early Detection System for Cataracts
    Nazhif Teggar Ranov, Rinto Priambodo · 2026 · SinkrOn
  94. AI-Driven Novel TL Approach for Efficient Classification of Brain Tumors Using Deep CNNs
    Shumaila Majeed, Nargis Bibi · 2026 · Infosys science foundation series
  95. Fostering Healthcare through Artificial Intelligence
    Kavita Khare, Zainab Aizaz, Nilay Khare · 2025 · CRC Press eBooks
  96. Adaptive Ensemble Learning Models for Multi-Disease Classification
    Yazhini Nivethitha M, Akshaya A M, N Abishek, Jeevitha, A Mohanarathinam, Kamalraj Subramaniam · 2025 · International Conference on NexGen Networks and Cybernetics (IC2NC)
  97. Automated Detection of Lesions in Brain MRI Scans Using Convolutional Neural Networks
    Rajesh Kumar Tripathi, Sujata Negi Thakur, P. Gupta, Animesh Kumar Sharma, Snehal Vairagede, Sandeep Raj · 2025 · International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI)
  98. Aktivasyon fonksiyonları ve derin öğrenme mimarilerinin beyin MRI görüntüleri üzerindeki sınıflandırma performanslarının incelenmesi
    Yasin Özkan · 2026 · Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi
  99. Symmetry Index-Guided Automatic Labeling with AlexNet for Lumbar Spine Muscle Classification
    Inaam Salman Aboud · 2026 · Ingénierie des systèmes d information
  100. Entropy-Guided Graph Neural Networks for Cognitive Brain Disorder Detection from Speech Transcripts
    Jannatul Ferdush, Azadeh Noori Hoshyar, Jaison Paul Mulerikkal, A Binu, Adel Ali Al-Jumaily · 2026 · ACM Transactions on Computing for Healthcare